Staff Data Engineer
Core
Design and build scalable enterprise data platforms (lakes, warehouses, pipelines) supporting production AI/ML systems, including embeddings, vector stores, and RAG data preparation.
Role type
Staff Data Engineer (Technical Lead)
Builds
Production-ready data platforms and AI/ML data flows for enterprise clients
Domain
Applied AI, Enterprise Data Engineering, Cloud-Native
Deliverable
production ML models
Required skills
Python, Scala, SQL, Distributed data systems, Data pipeline orchestration, Streaming platforms (Kafka, Kinesis, Pub/Sub), Data modeling, Container orchestration, CI/CD, AI coding tools (Claude, Cursor)
Preferred skills
Data mesh, Data fabric, Lakehouse architectures, Governance frameworks
Technologies
AWS, Kafka, Kinesis, Pub/Sub, Python, Scala, SQL, Claude, Cursor
Responsibilities
Define data architecture and platform strategy; Build and optimize scalable data pipelines for batch and real-time processing; Drive data platform modernization; Mentor junior engineers; Partner with leadership on data strategy; Design data pipelines for production AI/ML systems.
Seniority
Staff, Technical Lead & Mentorship
